Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zheyu Yan"'
Publikováno v:
Springer Series in Reliability Engineering ISBN: 9783031020629
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b767e739efb0a32e255ad856be28bfbb
https://doi.org/10.1007/978-3-031-02063-6_9
https://doi.org/10.1007/978-3-031-02063-6_9
Publikováno v:
IEEE Transactions on Computers. 70:595-605
Co-exploration of neural architectures and hardware design is promising to simultaneously optimize network accuracy and hardware efficiency. However, state-of-the-art neural architecture search algorithms for the co-exploration are dedicated for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29bb731bbb5d5ebdd0d1543debd0f8ea
https://doi.org/10.1109/tc.2020.2991575
https://doi.org/10.1109/tc.2020.2991575
Autor:
Zheyu Yang, Wenxian Wang, Yue Chen, Shubang Wang, Gongbo Bian, Liwei Lan, Zhenan Zhao, Hongwei Zhang, Changchun Li, Xiangbing Wang
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 3064-3078 (2024)
Laser powder bed fusion (LPBF) Invar 36 alloy has attracted plenty of attention in cryogenic components or precision instruments due to its low coefficient of thermal expansion in a wide range of temperature. However, the LPBF Invar 36 has a signific
Externí odkaz:
https://doaj.org/article/89024b25040340d3839cbf455bc2d9b2
Computing-in-Memory architectures based on non-volatile emerging memories have demonstrated great potential for deep neural network (DNN) acceleration thanks to their high energy efficiency. However, these emerging devices can suffer from significant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43febd87597e135c2ca2a61dae82e815
Emerging device-based Computing-in-memory (CiM) has been proved to be a promising candidate for high-energy efficiency deep neural network (DNN) computations. However, most emerging devices suffer uncertainty issues, resulting in a difference between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60dd8c2dfa726d6765d9b8c28127ea33
http://arxiv.org/abs/2107.06871
http://arxiv.org/abs/2107.06871
Autor:
Tushar Krishna, Vikas Chandra, Zheyu Yan, Liangzhen Lai, Hyoukjun Kwon, Yiyu Shi, Meng Li, Weiwen Jiang, Lei Yang
Publikováno v:
DAC
Neural Architecture Search (NAS) has demonstrated its power on various AI accelerating platforms such as Field Programmable Gate Arrays (FPGAs) and Graphic Processing Units (GPUs). However, it remains an open problem, how to integrate NAS with Applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b89a2960af018c536c99c5edfef4f559
http://arxiv.org/abs/2002.04116
http://arxiv.org/abs/2002.04116
Publikováno v:
ASP-DAC
Deep Neural Network has proved its potential in various perception tasks and hence become an appealing option for interpretation and data processing in security sensitive systems. However, security-sensitive systems demand not only high perception pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60bcb223fde90f7d550f36ec46abc683
Autor:
Xiaojian Zeng, Xiaolei Cao, Qiuyue Zhao, Siyuan Hou, Xin Hu, Zheyu Yang, Tingli Hao, Sifeng Zhao, Zhaoqun Yao
Publikováno v:
Plants, Vol 13, Iss 15, p 2163 (2024)
The efficient protoplast transient transformation system in plants is an important tool to study gene expression, metabolic pathways, and various mutagenic parameters, but it has not been established in Phelipanche aegyptiaca. As a root parasitic wee
Externí odkaz:
https://doaj.org/article/9ba58968fc3d44f6a3396ab109c51f76
Autor:
Ling Zhan, Ming Xuan, Hao Ding, Juyong Liang, Qiwu Zhao, Lingxie Chen, Zheyu Yang, Xi Cheng, Jie Kuang, Jiqi Yan, Wei Cai, Weihua Qiu
Publikováno v:
Cancer Medicine, Vol 12, Iss 16, Pp 16846-16858 (2023)
Abstract Background Limited attempts have been made in trans‐areola single‐site endoscopic thyroidectomy (TASSET) due to technical challenges and the lengthy time for proficiency. This study aimed to define the learning curve of TASSET and to des
Externí odkaz:
https://doaj.org/article/91a567b139a240a1a349d8b9f90ef3fa
Publikováno v:
Journal of Materials Research and Technology, Vol 25, Iss , Pp 6250-6262 (2023)
In this work, the AlCoCrFeNi2.1 eutectic high-entropy alloys (EHEAs) were fabricated by laser additive manufacturing and subsequently heat-treated at various temperatures between 800 and 1200 °C to achieve excellent strength-plasticity synergy. The
Externí odkaz:
https://doaj.org/article/f0232ca220cf4123bb8de9bb77861c94